Evidence map›Paper›PMID 34116714›Full record

Observational studyCritical care (London, England)2021

Feasibility of achieving different protein targets using a hypocaloric high-protein enteral formula in critically ill patients.

Pierre Singer, Itai Bendavid, Ilana BenArie, Liran Stadlander, Ilya Kagan

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07240103 (Blood-Interstitial Fluid Glucose Gap), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07240103 completednot on this mapstarted 2023, after this paper: background citation

Blood-Interstitial Fluid Glucose Gap: A Novel Indicator for Assessing Metabolic Status and Mortality Risk in Critically Ill Patients

Typeobservational_patient_registrySponsorChinese Medical AssociationRan2023 to 2025Enrolled140ConditionsCritical Illness, Metabolism Disorders
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Pierre SingerDepartment of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Sackler School of Medicine, Tel Aviv University, Jabotinsky Street, 49100, Petah Tikva, Israel. pierre.singer@gmail.com.ORCID 0000-0003-0779-9321
Itai BendavidDepartment of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Sackler School of Medicine, Tel Aviv University, Jabotinsky Street, 49100, Petah Tikva, Israel.
Ilana BenArieDepartment of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Sackler School of Medicine, Tel Aviv University, Jabotinsky Street, 49100, Petah Tikva, Israel.
Liran StadlanderDepartment of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Sackler School of Medicine, Tel Aviv University, Jabotinsky Street, 49100, Petah Tikva, Israel.
Ilya KaganDepartment of General Intensive Care and Institute for Nutrition Research, Rabin Medical Center, Beilinson Hospital, Sackler School of Medicine, Tel Aviv University, Jabotinsky Street, 49100, Petah Tikva, Israel.
Tel Aviv University · IL

Funding

CSP VA 567
6 · The paper itself

Abstract

BACKGROUND AND

aimsCombining energy and protein targets during the acute phase of critical illness is challenging. Energy should be provided progressively to reach targets while avoiding overfeeding and ensuring sufficient protein provision. This prospective observational study evaluated the feasibility of achieving protein targets guided by 24-h urinary nitrogen excretion while avoiding overfeeding when administering a high protein-to-energy ratio enteral nutrition (EN) formula.

methodsCritically ill adult mechanically ventilated patients with an APACHE II score > 15, SOFA > 4 and without gastrointestinal dysfunction received EN with hypocaloric content for 7 days. Protein need was determined by 24-h urinary nitrogen excretion, up to 1.2 g/kg (Group A, N = 10) or up to 1.5 g/kg (Group B, N = 22). Variables assessed included nitrogen intake, excretion, balance; resting energy expenditure (REE); phase angle (PhA); gastrointestinal tolerance of EN.

resultsDemographic characteristics of groups were similar. Protein target was achieved using urinary nitrogen excretion measurements. Nitrogen balance worsened in Group A but improved in Group B. Daily protein and calorie intake and balance were significantly increased in Group B compared to Group A. REE was correlated to PhA measurements. Gastric tolerance of EN was good.

conclusionsAchieving the protein target using urinary nitrogen loss up to 1.5 g/kg/day was feasible in this hypercatabolic population. Reaching a higher protein and calorie target did not induce higher nitrogen excretion and was associated with improved nitrogen balance and a better energy intake without overfeeding. PhA appears to be related to REE and may reflect metabolism level, suggestive of a new phenotype for nutritional status. Trial registration 0795-18-RMC.

Indexed as

AgedAged, 80 and overCritical IllnessEatingEnteral NutritionFeasibility StudiesFemaleHumansMaleMiddle AgedNitrogenNutritional StatusProteinsNitrogenProteinsCritical illnessEnteral nutritionHigh proteinIntensive care unitNitrogen excretionProtein target

Identifiers

PMID34116714
PMCPMC8194118
OpenAlexW3166681812

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.